Universalizing Weak Supervision. - Changho Shin; Winfred Li; Harit Vishwakarma; Nicholas Carl Roberts; Frederic Sala (ICLR, 2022)

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels. - Nicholas Carl Roberts; Xintong Li 001; Tzu-Heng Huang; Dyah Adila; Spencer Schoenberg; Cheng-Yu Liu 002; Lauren Pick; Haotian Ma; Aws Albarghouthi; Frederic Sala (NeurIPS, 2022)

Generative Modeling Helps Weak Supervision (and Vice Versa). - Benedikt Boecking; Nicholas Carl Roberts; Willie Neiswanger; Stefano Ermon; Frederic Sala; Artur Dubrawski (ICLR, 2023)

Geometry-Aware Adaptation for Pretrained Models. - Nicholas Carl Roberts; Xintong Li 001; Dyah Adila; Sonia Cromp; Tzu-Heng Huang; Jitian Zhao; Frederic Sala (NeurIPS, 2023)

MoRe Fine-Tuning with 10x Fewer Parameters. - Wenxuan Tan; Nicholas Carl Roberts; Tzu-Heng Huang; Jitian Zhao; John Cooper; Samuel Guo; Chengyu Duan; Frederic Sala (CoRR, 2024)

ScriptoriumWS: A Code Generation Assistant for Weak Supervision. - Tzu-Heng Huang; Catherine Cao; Spencer Schoenberg; Harit Vishwakarma; Nicholas Carl Roberts; Frederic Sala (CoRR, 2025)

Tabby: Tabular Data Synthesis with Language Models. - Sonia Cromp; Satya Sai Srinath Namburi GNVV; Mohammed Alkhudhayri; Catherine Cao; Samuel Guo; Nicholas Carl Roberts; Frederic Sala (CoRR, 2025)

R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training. - Albert Ge; Tzu-Heng Huang; John Cooper; Avi Trost; Ziyi Chu; Satya Sai Srinath Namburi GNVV; Ziyang Cai; Kendall Park; Nicholas Carl Roberts; Frederic Sala (CoRR, 2025)

Reward Models Enable Scalable Code Verification by Trading Accuracy for Throughput. - Gabriel Orlanski; Nicholas Carl Roberts; Aws Albarghouthi; Frederic Sala (CoRR, 2025)